Based on prior knowledge, we can hypothesize that the feature "residence_since" might have some relationship with the target variable "Does this person receive a credit?". 

To analyze the relationship between the feature and target variable, we can look for any patterns or trends by comparing the residence_since values for both the 'yes' and 'no' classes. We will consider 5 typical values for each target class: 'yes' and 'no'.

| Target Class | Typical residence_since Values |
|--------------|-------------------------------|
| yes          | 3.0, 5.0, 6.0, 7.0, 10.0       |
| no           | 1.0, 2.0, 4.0, 8.0, 9.0        |

Based on our analysis, we can now create the dictionary with the specified format:

```json
{
	"yes": [3.0, 5.0, 6.0, 7.0, 10.0],
	"no": [1.0, 2.0, 4.0, 8.0, 9.0]
}
```